The Application of Hybrid Genetic Algorithms Model in Solving Product Optimization Problem

Authors
Xiufeng Shao, Jian Zhang, Li Li
Corresponding Author
Xiufeng Shao
Available Online March 2013.
DOI
https://doi.org/10.2991/iccsee.2013.722How to use a DOI?
Keywords
genetic algorithms, hybrid genetic algorithms, product optimization, fitness function
Abstract
We introduce basic theory of genetic algorithms in this paper, Build one hybrid genetic algorithms model base on genetic algorithms in solving product optimization problem. And we realize the model by software. The disposal result of real data tells us that the model has good practicability and accuracy to the problem of product optimization problem.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
978-90-78677-61-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/iccsee.2013.722How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xiufeng Shao
AU  - Jian Zhang
AU  - Li Li
PY  - 2013/03
DA  - 2013/03
TI  - The Application of Hybrid Genetic Algorithms Model in Solving Product Optimization Problem
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering
PB  - Atlantis Press
SP  - 2893
EP  - 2896
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.722
DO  - https://doi.org/10.2991/iccsee.2013.722
ID  - Shao2013/03
ER  -